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Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems. Associated research and software engineering
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of artificial intelligence on society, as well as broader questions surrounding the application of statistics and machine learning in social science. The position requires no teaching, though some mild
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on projects related to machine-learning for mass spectrometry-based metabolomics data. Positions are available starting July 2024, and will remain open until excellent fits are found. Successful candidates will
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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for energy systems planning and operations, leveraging decomposition methods, machine learning, multi-scalar modeling, and other creative techniques. 2.Applied energy systems modeling: scholars will help build
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The Department of Operations Research & Financial Engineering (ORFE) invites applications for a postdoctoral position broadly in statistics and machine learning. This position is supported through